Donghyeon Soon

I am a final-year undergraduate student at DGIST, South Korea, and a research intern at the Intelligent Systems and Learning Lab, advised by Daehee Park. I also work closely with Kyungdon Joo at UNIST and Hezhen Hu at UT Austin. My research focuses on 3D vision and generative modeling, particularly in 3D/4D reconstruction and parametric modeling of humans and animals.

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Research

My research focuses on developing models for reconstructing, animating, and generating dynamic 3D and 4D content, especially for animals and humans. My work combines synthetic data pipelines, parametric animal and human models, and generative methods to turn 2D images and videos into animatable 3D/4D representations. I enjoy building tools and models that expand the creative and scientific possibilities of computer vision and graphics.

A large-scale expressive multi-dancer dataset with automated annotation for world-grounded multi-person SMPL-X motion, including detailed hand articulation, facial expressions, audio, and structured text descriptions.

We present a synthetic animal video pipeline and a video transformer model for reconstructing temporally coherent 4D animal motion and global trajectories from monocular in-the-wild videos.

We propose a Mamba-based diffusion framework for music-driven dance generation with a redesigned beat representation for better motion modeling and rhythm alignment.

Education

Experience

If you'd like to discuss potential collaborations or have any questions, please feel free to contact me at dhsoon@dgist.ac.kr.

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